Documentación de la API de Cloud Vision
La API de Cloud Vision permite a los desarrolladores integrar con facilidad las funciones de detección de vision en las aplicaciones, como el etiquetado de imágenes, la detección de rostros y de puntos de referencia, el reconocimiento óptico de caracteres (OCR) y el etiquetado de contenido explícito.
Sigue explorando con más de 20 productos siempre gratuitos
Accede a más de 20 productos gratuitos para casos de uso comunes, incluidas APIs de IA, VMs, almacenes de datos y mucho más.
Recursos de documentación
Guías
Recursos relacionados
Videos relacionados
New Way Now: Justicia Lab provides immigrants with legal guidance in 30 seconds using AI
𝗦𝘂𝗺𝗺𝗮𝗿𝘆: Meet Rodrigo Camarena, director of Justicia Lab, an organization that helps immigrants find a path to status through customized recommendations via a generative AI tool. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Millions of immigrants and asylum seekers face the risk of
New Way Now: Plenitude streamlines customer onboarding and fraud prevention with Google Cloud AI
*Summary:* Plenitude is using Google Cloud AI to streamline customer onboarding and fraud prevention, leading to a faster, more efficient, and user-friendly experience. *Challenge:* Manual data entry and ID verification in the customer onboarding
Google Distributed Cloud Sandbox
Google Distributed Cloud (GDC) Sandbox offers a cost-effective platform for building and testing services designed for GDC air-gapped in a managed offering with a familiar, easy to use interface that mirrors the API, CLI, and UX of GDC air-gapped.
Cloud Functions local debugging
Debugging is often easier on a local machine than in the cloud. Follow along and learn how to debug Google Cloud Functions on your laptop, with Christoph Stanger and Martin Omander as your guides. See how to run a small part of Google Cloud on your
How to get started with ML APIs
Identify Objects from Images using AI → https://goo.gle/unicorn-ObjectLoc Here to bring you the latest news in the startup program by Google Cloud is Abhishek Bhagwat! Welcome to the second season of the Google Cloud Technical Guides for Startups -
What are Google Cloud quickstarts?
All quickstarts → https://goo.gle/34z3ipu Quickstart: Using client libraries → https://goo.gle/3rP4QUW Whether you’re looking to deploy a web app, set up a database, or run big data workloads, it can be challenging to get started. Luckily, Google
How to build digital e-commerce platform on Google Cloud
How to build a digital commerce platform on Google Cloud → https://goo.gle/3rsFNac Building a headless ecommerce platform on Google Cloud → https://goo.gle/3gln369 Headless Commerce Code Sample → https://goo.gle/3nHTCPB You’ve built an ecommerce
How Booking.com uses Apigee on Anthos to enhance the customer's experience
Watch on as Booking.com discusses how they’re using Apigee hybrid on Anthos to unify all their APIs on one platform to further their vision of a connected trip, bringing all aspects of a customer’s journey together. Resources: Visit the Next '21
Choreography vs Orchestration in microservices
Pic-a-Daily Serverless Workshop → https://goo.gle/3cDzc2U Source code → https://goo.gle/2QrTBC9 When working with serverless applications that are running on microservices, microservices can interact with one another in different ways such as
Making a smart closet with ML
Read the Blog → https://goo.gle/37MNK0s Try the Vision API → http://goo.gle/3j8T1Dh And the Vision Product Search API →http://goo.gle/39Dnar2 Can AI choose your outfits for you? In this episode of Making with ML, Dale Markowitz shows you how to build
Google Cloud AutoML Vision improves quality and lowers cost for SAP customers
Google Cloud customers are continually seeking new ways to apply the latest technologies, such as AI, to improve efficiency. AI has proven to be particularly beneficial in helping to automate the visual quality control process for manufacturing
How to convert PDFs to audiobooks with machine learning
Ever wish you could listen to PDFs on the go? In this episode of Making with ML, Dale Markowitz and Kaz Sato show you how to convert PDFs into audiobooks with the help of machine learning tools from Google Cloud. Watch to see how you turn any PDF
Can AI make me a better athlete?
Can an algorithm help you improve your penalty kick or tennis serve? In this episode of Making with Machine Learning, Dale Markowitz chats with Machine Learning Engineer Zack Akil to learn about how Google Cloud’s ML services, like Cloud AutoML
Image recognition and classification with Cloud Vision
Being able to classify and recognize images with artificial intelligence is no longer a hard feat. Rather, this is now feasible with Google Cloud’s Vision API. Watch to learn how to set up Cloud Vision API for your developer projects. Vision Product
Using document understanding ML with Quantiphi
In this episode of Stack Chat, Lorin Price speaks with Harshit Malik - a senior ML engineer at Quantiphi - about how their company is helping build a solution to ingest and use ML on legacy documents with QDox. Specifically, they speak to how Qdox
Bank BRI is working with Google Cloud to accelerate financial inclusion in Indonesia
Bank Rakyat Indonesia is one of the largest banks in Indonesia and is committed to increasing financial inclusions among un-banked Indonesians. Bank BRI specializes in using modern digital banking to facilitate microfinance lending across its network
Training AutoML Vision Models
Fresh or not fresh? Quality control can be a tricky process but thanks to AutoML vision it's easy to train a machine learning model and automate. Join Justin and Marco as they show how you can get started with building your own AutoML VIsion model!
How to integrate Dialogflow with Google cloud ML APIs
In this episode of Deconstructing Chatbots, +Priyanka Vergadia will show how to integrate Dialogflow with Google CloudML APIs. You will learn how to use Dialogflow APIs in your own custom app as well. Try on GitHub → https://goo.gle/2KI2xgZ Cloud SQL
Platform Overview - Machine Learning
In this short GCP Essentials video, see how GCP has made Machine Learning easier for you from behind the scenes. Hear Alexis Moussine-Pouchkine further discuss Compute Engine Essentials with a Platform Overview. Vision API → https://goo.gle/31r1SpM
Industrialize Your Data Platform with GCP + OSS (Cloud Next '19)
The life sciences field has rapidly become data rich, but longs to be data driven. At Bayer Crop Science, it's vital that our company can easily identify, access and utilize the enterprise data sets necessary to enable our vision of "science for a
Marketing and Creative Insights from Unstructured Data: Cloud ML APIs (Cloud Next '19)
How can businesses use Google Cloud to unlock unstructured data for their marketing and creative analytics? In this session we present two customer examples that use Google Cloud APIs to create actionable signals from unstructured data. Leveraging
GCP Machine: Cricket Video Analysis to Predicting Coal Mine Equipment Failures (Cloud Next '19)
Two very different companies - Teck Resources, one of the world’s largest mining companies vs English and Wales Cricket Board, a major sports and entertainment organization. Two very different ML domains - predictive maintenance vs sports analytics.
Automating Tax using Google Cloud Platform, (it really can be done!) (Cloud Next '19)
VAT/GST exists in over 150 countries across APAC, LATAM and EMEA, each with different VAT/GST recovery rules and documentation requirements for accounts payable and T&E expenses. It’s a complex operating environment which relies on accurately
Automate Cancer MCA using Cloud Vision API and GCMLE (Cloud Next '19)
Learn how Pluto7 built a model to extract the text from Clinical protocols using Cloud Vision API and automatically predicted whether clinical treatments, based on their criteria, were classified, covered by researchers of clinical trials, or by the
Learn what Google Cloud AI Building Blocks can do for your business
Google Cloud AI Building Blocks open up machine learning to businesses without in-house expertise. Powered by products like AutoML Vision and the Translation API, Google Cloud AI Building Blocks make it easy to infuse AI into existing applications or
From Zero to ML on Google Cloud Platform (Next Rewind '18)
Today we’re seeing revolutionary changes in hardware and software that are democratizing machine learning (ML) and making it accessible to any developer or data scientist. Whether you’re new to ML or you’re already an expert, GCP has a variety of
Using the Vision API with C#
Mete Atamel (@meteatamel) shows how you use the Vision API with C#. See the relevant codelab for more details: https://codelabs.developers.google.com/codelabs/cloud-vision-api-csharp #CloudMinute
Proactively Restocking Inventory using Machine Learning (Cloud Next '18)
How do you notify store associates when items are out of stock? What if you could leverage footage from in-store cameras to detect when stock is low for items that have a quick turnover (like produce) and have those refilled before running out? In
Vision: API and Cloud AutoML (Cloud Next '18)
If you have the data, but not enough time and/or expertise to build your own ML model, you are not alone. Many enterprises are bootstrapped for people who can build custom ML models. This is why we, at Google Cloud, have created a tool to make ML
Cloud OnAir: Build modern apps using an API-First strategy
Find out what it takes to build modern apps when backends are a combination of legacy systems, modern microservices and various SaaS applications such as Google vision API, Workday, Salesforce, etc. You will learn how to create a uniform API layer